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node-property-prediction【数据与研究】Routes OGB node-property workflows for ogbn datasets and node-level evaluators.
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Use this subskill for the node-property family: ogbn-* datasets, including
heterogeneous graphs and the one-graph node-classification loaders.
NodePropPredDataset, PygNodePropPredDataset,
DglNodePropPredDataset, or ogbn-*.ogbn-mag, ogbn-products, ogbn-arxiv,
ogbn-proteins, or ogbn-papers100M.references/workflows.md for the family
workflow and hetero-graph caveats.references/api-reference.md for the
public class names and split/label shapes.references/troubleshooting.md when a
split, label, or import fails.dataset-contribution instead of stretching this subskill.ogbn-* dataset name.dataset[0] plus get_idx_split().ogbn-mag as a heterogeneous one-graph workflow.ogbn-papers100M as the large binary/raw-format workflow.ogbn-arxiv -> citation graph node classification.ogbn-products -> large-scale product graph classification.ogbn-proteins -> binary node classification with ROC-AUC.ogbn-mag -> heterogeneous graph workflow with dict-valued labels/splits.ogbn-papers100M -> large binary dataset workflow.PyG and DGL wrappers are optional. If they are not installed, the library- agnostic loader remains the right path for the core OGB node workflow.
ogbn-* dataset returns the same label shape.